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This paper aims to understand if buy-now-pay-later (BNPL) services, a digital type of credit that targets young consumers, acts as a protective or a risk factor for food insecurity among young consumers in Australia.

The study uses survey data from a representative sample of young consumers aged 18–24 from all internal states and territories in Australia. Propensity score matching is used to test two hypotheses: BNPL drives young consumers to food insecurity, and food insecurity leads young consumers to use BNPL.

There is evidence that BNPL use is driving young Australian consumers to experience food insecurity, but there is no evidence of food insecurity driving the use of BNPL services.

The evidence of BNPL driving young consumers to experience food insecurity calls for the adoption of practices and stronger regulation to ensure that young users from being overindebted.

Although the link with more traditional forms of credit (such as personal loans) and consumer wellbeing has been explored more broadly, this project is the first attempt to have causal evidence of the link between BNPL and food insecurity in a high-income country, to the best of the authors’ knowledge. This evidence helps to fill the gap about the protective or risky nature of this type of digital financial product, as experienced by young Australians.

The Covid-19 virus badly affected working patterns in almost every sector. The purpose of this paper is to analytically substantiate how work and life integration impacts the exhaustion and work–life balance among employees of academic institutions and IT companies.

Current study is empirical in nature based on the survey of 500 respondents taken from academic (250) and IT companies (250) from Ahmedabad and Gandhinagar, Gujarat. Structural equation modelling (SEM) was used to test the hypothesis with the application of the software Smart-PLS. Two surveys were conducted to collect the data separately for academic institutions and IT organizations.

Findings revealed the facts that during Covid-19, the employee’s work and life integration affected the work–life balance and exhaustion in academic institutions highly. The relationship was positively significant. But, for IT employees, it was identified as non-significant.

The current study highlighted the issues which employees faced during Covid-19 severe spread while managing work and family; how it varied due to the nature of work performed by the employees, for example, academics being more exposed to transformation from offline to complete online mode posed more challenges to teaching staff. This study also disclosed the scenario created and how it was handled in the deadly phase.

This study presents the social contribution in understanding the importance of work and life balance and problems related to it, especially when everyone everywhere is scared of going out. The study provides insight into how it became difficult for employees to maintain their payroll successfully.

The current study contributes to the existing body of knowledge by testing statistically that the integration between work and life is important for work–life balance and prohibiting emotional exhaustion. The current paper extends the theoretical contribution by offering suggestions to companies on why to synchronize positive balance between work and life while keeping boundaries relatively strict between family and work to gain employee well-being and competitive advantages.

This study aims to examine the interplay between renewable energy consumption, carbon footprints, natural resources depletion and economic growth.

It engaged 45 African countries using the generalized method of moments (GMM) approach. Data from the World Development Indicators for the period 2000–2023 are used to analyse the relationships among these variables.

The result indicates a positive and significant effect of greenhouse gas emissions on economic growth in all regions of Africa, except for Southern Africa. Regarding the depletion of natural resources, the authors observe a dominant negative effect on economic growth. Thus, an increase in the depletion of natural resources contributes to the reduction of economic growth in most regions of Africa, notably West Africa, East Africa and sub-Saharan Africa as a whole. Moreover, the depletion of natural resources can also have negative social impacts, such as conflicts over access to remaining resources, which can indirectly influence economic stability and growth.

This study contributes to the existing literature by providing empirical evidence of the positive effects of renewable energy consumption on carbon footprints, natural resource depletion and economic growth. By quantifying these relationships, the study offers valuable insights into the potential of renewable energy to address pressing environmental and economic challenges.

The COVID-19 pandemic was a shock to the food supply chain without modern precedent. Challenges in production, manufacturing, distribution and retailing led to the highest rates of food price inflation in the US since the 1970s. The major goal of this paper is to describe statistically the impact of the pandemic of food price inflation and volatility in the US and to discuss implications for industry and for policymakers.

We use Bureau of Labor Statistics data to investigate food prices in the US, 2020–2021. We apply 16 statistical approaches to measure price changes and volatility and three regression approaches to measure counterfactuals of food prices, had the pandemic not occurred.

Food price inflation and volatility increased substantially during the early months of the pandemic, with a great deal of heterogeneity across food products and geographic regions. Food price inflation was most pronounced for meats, and contrary to expectations, highest in the western US Forecasting approaches demonstrate that grocery prices were about 7% higher than they would have been without the pandemic as of the end of 2021.

The research on COVID-19 and the food system remains in its nascent stage. As findings on food loss and waste, employment and wages, food insecurity and more proliferate, it is vital to understand how food prices were connected to these phenomena and affected. We also motivate several ideas for future work.

The agricultural sector in any country plays an important contributor to national output along with its high absorbability of the working population. In the agricultural sector, paddy production holds a major share in the total output in countries like India. The growth and stability of the paddy production at the national level depends on the same factors at the sub-national levels such as the provincial and district levels. The present study focuses first on the stability analysis of the quantity of food production and irrigation facilities in the top 10 rice-producing states in India and then on the stability of yield rates in three varieties of paddy production, Aus, Aman, and Boro, and irrigation facilities across the blocks in the Paschim Medinipur district of West Bengal, as a special reference. The analyses involves the evaluation of the growth and stability using Coppock’s method and trend analysis. It is found that Uttar Pradesh and Andhra Pradesh have a positive significant correlation between irrigation facilities and paddy production. From this study, it is also found that the correlation between changes in the yield rate of Aus, Aman, and Boro production and changes in irrigation is positive and significantly related to each other for Garbeta 1, Garbeta 3, Keshiary, Kharagpur 2, Chandrakona 1, and Chandrakona 2 blocks in Paschim Medinipur district under West Bengal. Therefore, the results recommend that the government should focus on irrigation facilities in those areas where the benefits of irrigation facilities are fully realized.

Uncertainty in commodity pricing is a major cause of concern for farmers of developing countries like India. To observe the decision-making process of farmers of Burdwan district of West Bengal, India, the generalized autoregressive conditional heteroscedasticity (GARCH) model is employed to measure the extent of volatility in spot prices of potato and also to observe the existence of seasonal effects; Agmarknet database provided by Government of India over the period of 2003–2019 has been used. The market price of potato decreased during its season of production and peaked during the off-season period. The result implies that the volatility of potato forecasting is tending towards the standard error correction in the long run and from 2003 to 2019; the trend of potato price was influenced by multiple events. The result indicates that the farmers must focus on short-run structural events in the potato market.

This study examines the impact of online budget planning platforms (e.g. Goodbudget, Mint) on households’ financial satisfaction. Furthermore, the authors identify the channels and the cross-sectional heterogeneity of this impact based on households’ income, financial literacy and minority groups.

This study utilizes data from the National Financial Capability Study (NFCS) for 2018 and 2021, which encompasses over 50,000 households. The authors apply logit and ordered logit regression techniques to examine the research questions and use propensity score matching and entropy balancing to address potential sample selection bias.

The authors find a substantial correlation between the adoption of financial budgeting tools and a notable improvement in households’ financial satisfaction, driven by the promotion of healthy financial behaviors and enhanced financial self-efficacy. The empirical findings underscore that the positive effects of online budget planners are more pronounced among low-income, financially illiterate and Black households.

This study is the first to examine the impact of online budget planners on household financial satisfaction. It contributes to the literature by offering valuable insights into how these tools influence financial satisfaction within households.